What can data science help optimize in a commodity deconstruction business like meat or dairy? Data science can forecast the impact of commodity supply variability
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We’ve all seen empty supermarkets shelves recently, waited much longer than usual for an online delivery, or experienced port and shipping problems. It’s fair to
chain disruption has been at the forefront of dairy producers’ minds in recent years as weather, pandemics, inflationary pressures, regulatory changes, food uncertainty, and more contribute to supply chain volatility.
This week on Udderly Understandable, Hamish and Robbie explain how the burgeoning conflict in Ukraine may impact the dairy industry and commodity ag.
During times of upheaval, the most important thing you can have for supply chain resilience is extreme visibility.
There is a concept that applying data science to your business will automate processes, consolidate information faster, make employees lives easier, and allow them to go home earlier. All of that is true! It does leave an important part out, however. What often doesn’t get mentioned is that data science comprehensively considers so many nuances of your business, all at once, that understanding its optimized scenarios will require significant hours of training, as well as a mindset change within your planning team.
data to work: it’s hard to know which to choose first: an ERP system or a planning system.
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